🔗 Who cites «Language Models Can Teach Themselves to Program Better»

38 papers of our library cite it (of the 149,439 whose bibliographies we read) · 18 with a page here, the most cited first · ← back to «Language Models Can Teach Themselves to Program Better»

1. Will we run out of data? Limits of LLM scaling based on human-generated dataarXiv:2211.04325Pablo Villalobos, Anson Ho, Jaime Sevilla, et al.2022 · 198 citations
2. CRUXEval: A Benchmark for Code Reasoning, Understanding and ExecutionarXiv:2401.03065Alex Gu, Baptiste Rozière, Hugh Leather, et al.2024 · 122 citations
3. Quiet-STaR: Language models can teach themselves to think before speaking2024 · 122 citations
4. Best Practices and Lessons Learned on Synthetic DataarXiv:2404.07503Ruibo Liu, Jerry Wei, Fangyu Liu, et al.2024 · 119 citations
5. Agent Workflow MemoryarXiv:2409.07429Zora Zhiruo Wang, Jiayuan Mao, Daniel Fried, et al.2024 · 86 citations
6. Execution-Based Evaluation for Open-Domain Code GenerationFindings of the Association for Computational LinguisticsZhiruo Wang, Shuyan Zhou, Daniel Fried, et al.2023 · 69 citations
7. Buffer of Thoughts: Thought-Augmented Reasoning with Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Ling Yang, Zhaochen Yu, Tianjun Zhang, et al.2024 · 67 citations
8. Meta-Prompting: Enhancing Language Models with Task-Agnostic ScaffoldingarXiv:2401.12954Mirac Suzgun, Adam Tauman Kalai2024 · 62 citations
9. Absolute Zero: Reinforced Self-play Reasoning with Zero DataConference on Neural Information Processing Systems (NeurIPS)Andrew Zhao, Yiran Wu, Yang Yue, et al.2025 · 57 citations
10. LLM-SR: Scientific Equation Discovery via Programming with Large Language ModelsarXiv:2404.18400Parshin Shojaee, Kazem Meidani, Shashank Gupta, et al.2024 · 47 citations
11. STP: Self-play LLM Theorem Provers with Iterative Conjecturing and ProvingarXiv:2502.00212Kefan Dong, Tengyu Ma2025 · 43 citations
12. Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning PerspectivearXiv:2412.14135Zhiyuan Zeng, Qinyuan Cheng, Zhangyue Yin, et al.2024 · 33 citations
13. SelfCodeAlign: Self-Alignment for Code GenerationConference on Neural Information Processing Systems (NeurIPS)Yuxiang Wei, Federico Cassano, Jiawei Liu, et al.2024 · 32 citations
14. Learning Formal Mathematics From Intrinsic MotivationConference on Neural Information Processing Systems (NeurIPS)Gabriel Poesia, David Broman, Nick Haber, et al.2024 · 23 citations
15. DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning GraphConference on Neural Information Processing Systems (NeurIPS)Zhehao Zhang, Jiaao Chen, Diyi Yang2024 · 17 citations
16. LLM-Assisted Code Cleaning For Training Accurate Code GeneratorsarXiv:2311.14904Naman Jain, Tianjun Zhang, Wei-Lin Chiang, et al.2023 · 17 citations
17. Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy DetectionarXiv:2405.02318Abhinav Lalwani, Tasha Kim, Lovish Chopra, et al.2024 · 15 citations
18. QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language ModelarXiv:2402.03755Saizhuo Wang, Hang Yuan, Lionel M. Ni, et al.2024 · 10 citations

20 more papers of our library cite it; they have no page here yet.

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